Generalized Linear Models in R

Engineering and Technology

Short Description

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Long Description

Linear regression is a widely used statistical method, but it has limitations when it comes to handling complex data. To overcome these limitations, a generalized linear model (GLM) is employed. GLM extends the capabilities of linear regression by accommodating non-normal distributions such as binomial and count data. In this course, we will enhance our data science skills by incorporating GLMs in R into our toolkit. Specifically, we will focus on fitting logistic regression models for binomial data and Poisson regression models for count data. Additionally, we will gain proficiency in interpreting and visualizing these results using ggplot2.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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